{"id":"https://openalex.org/W2994820719","doi":"https://doi.org/10.1109/dyspan.2019.8935784","title":"Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA","display_name":"Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2994820719","doi":"https://doi.org/10.1109/dyspan.2019.8935784","mag":"2994820719"},"language":"en","primary_location":{"id":"doi:10.1109/dyspan.2019.8935784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan.2019.8935784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110535973","display_name":"Sohraab Soltani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sohraab Soltani","raw_affiliation_strings":["Intelligent Automation, Inc, Rockville, MD, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089570143","display_name":"Yalin E. Sagduyu","orcid":"https://orcid.org/0000-0003-1576-5527"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yalin E. Sagduyu","raw_affiliation_strings":["Intelligent Automation, Inc, Rockville, MD, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103010512","display_name":"Raqibul Hasan","orcid":"https://orcid.org/0000-0001-6681-2202"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raqibul Hasan","raw_affiliation_strings":["Intelligent Automation, Inc, Rockville, MD, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075960743","display_name":"Kemal Davasl\u0131o\u011flu","orcid":"https://orcid.org/0000-0003-2745-6764"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kemal Davaslioglu","raw_affiliation_strings":["Intelligent Automation, Inc, Rockville, MD, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027834557","display_name":"Hongmei Deng","orcid":"https://orcid.org/0000-0002-2438-2088"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongmei Deng","raw_affiliation_strings":["Intelligent Automation, Inc, Rockville, MD, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024995674","display_name":"Tugba Erpek","orcid":"https://orcid.org/0000-0003-0168-2587"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tugba Erpek","raw_affiliation_strings":["Intelligent Automation, Inc, Rockville, MD, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc, Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110535973"],"corresponding_institution_ids":["https://openalex.org/I4210130203"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78767167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7514014840126038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7000976800918579},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5762665271759033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4644131362438202},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4610532820224762},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.437782883644104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32788410782814026},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.30165889859199524},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.21880218386650085},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.21605435013771057}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7514014840126038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000976800918579},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5762665271759033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4644131362438202},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4610532820224762},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.437782883644104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32788410782814026},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.30165889859199524},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21880218386650085},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.21605435013771057}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dyspan.2019.8935784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan.2019.8935784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2272847350","https://openalex.org/W2741230443","https://openalex.org/W2773170971","https://openalex.org/W2908993293","https://openalex.org/W2963047971","https://openalex.org/W2964277700","https://openalex.org/W2996613410","https://openalex.org/W3012548231","https://openalex.org/W3104028856","https://openalex.org/W6768669621"],"related_works":["https://openalex.org/W1876592433","https://openalex.org/W2083269738","https://openalex.org/W4210376836","https://openalex.org/W4210925376","https://openalex.org/W1633995705","https://openalex.org/W2596211269","https://openalex.org/W197862639","https://openalex.org/W2360384790","https://openalex.org/W4232397253","https://openalex.org/W4235913033"],"abstract_inverted_index":{"We":[0],"demonstrate":[1],"the":[2,15,22,37,57,64,74,106,125],"embedded":[3,35],"implementation":[4],"of":[5,21,67,109],"a":[6,77,110],"deep":[7,50],"learning-based":[8],"RF":[9,58],"classifier":[10,60,126],"that":[11,53,112,124],"is":[12,54,113],"implemented":[13],"on":[14,63,105],"Field":[16],"Programmable":[17],"Gate":[18],"Array":[19],"(FPGA)":[20],"software-defined":[23],"radio":[24,79],"(SDR)":[25],"platform,":[26],"DeepRadio":[27,68,87,116],"<sup":[28,69,88,117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[29,70,89,118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">TM</sup>":[30,71,90,119],".":[31,72,120],"Supported":[32],"by":[33],"low-power":[34],"computing,":[36],"received":[38,93],"signals":[39,81],"are":[40,103],"classified":[41],"to":[42,97,115,131],"different":[43,83],"modulation":[44,84,99],"types":[45,85],"in":[46],"real":[47],"time.":[48],"The":[49],"neural":[51],"network":[52],"used":[55],"for":[56],"signal":[59,94],"runs":[61],"directly":[62],"FPGA":[65],"fabric":[66],"In":[73],"demonstration":[75],"setup,":[76],"USRP":[78],"transmits":[80],"with":[82],"and":[86,140],"classifies":[91],"each":[92],"(I/Q":[95],"samples)":[96],"its":[98],"type.":[100],"Classification":[101],"results":[102,122],"shown":[104],"mobile":[107],"app":[108],"smartphone":[111],"connected":[114],"Demonstration":[121],"show":[123],"achieves":[127],"high":[128],"accuracy":[129],"(close":[130],"software":[132],"implementation)":[133],"at":[134],"low":[135,141],"latency":[136],"(microseconds":[137],"per":[138,145],"sample)":[139],"energy":[142],"consumption":[143],"(microJoules":[144],"sample).":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}